Markus Fratz

403 citations
47 papers · 318 · h-index 9

Impact in

Papers in

Markus Fratz

42 papers receiving 289 citations

Peers

Markus Fratz
Comparison fields: 5 of 26
  • Atomic and Molecular Physics, and Optics 204
  • Computer Vision and Pattern Recognition 150
  • Acoustics and Ultrasonics 3
  • Media Technology 22
  • Electronic, Optical and Magnetic Materials 35
Replace Takuhisa Numata with:
Takuhisa Numata Japan
Masayuki Yokota Japan
César Daniel Perciante Uruguay
Dahi Ghareab Abdelsalam Egypt
Guanming Lai Japan
Ingolf Weingärtner Germany
Cruz Meneses-Fabián Mexico
Guangyuan Shi China
Tomokazu Shiga Japan
Toshitaka Wakayama Japan
Markus Fratz relative to Takuhisa Numata Japan Takuhisa Numata's profile →
Citations per field
00.5×2×4×6×7.5×
Takuhisa Numata · 1×
Citations per year

Countries citing papers authored by Markus Fratz

Since Specialization
Citations

This map shows the geographic impact of Markus Fratz's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Markus Fratz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Markus Fratz more than expected).

Fields of papers citing papers by Markus Fratz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Markus Fratz. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Markus Fratz. The network helps show where Markus Fratz may publish in the future.

Co-authors

The 25 scholars most cited alongside Markus Fratz, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Markus Fratz Line = papers co-authored together Markus Fratz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 200954
3 200930
4 201927
5 201816
6 200912
7 201911
8 201310
9 20179
10 20097
11 20177
12 20155
13 20175
14 20195
15
Automatic pollen recognition – developments and perspectives
20064
16 20104
17 20184
18 20204
19 20214
20 20083

About Markus Fratz

Markus Fratz is a scholar working on Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Media Technology, Mechanical Engineering and Instrumentation, having authored 47 papers that have together received 318 indexed citations. Recurring topics across this work include Digital Holography and Microscopy (32 papers), Optical measurement and interference techniques (30 papers), Advanced Measurement and Metrology Techniques (7 papers), Advanced Optical Imaging Technologies (3 papers), Photorefractive and Nonlinear Optics (3 papers), Orbital Angular Momentum in Optics (2 papers), Smart Agriculture and AI (1 paper) and Image Processing Techniques and Applications (1 paper). The work is most often cited by research in Atomic and Molecular Physics, and Optics (204 citations), Computer Vision and Pattern Recognition (150 citations), Acoustics and Ultrasonics (3 citations), Media Technology (22 citations) and Electronic, Optical and Magnetic Materials (35 citations). Markus Fratz has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Daniel D. Carl, Tobias Beckmann, Marcel Pfeifer, Stefan Sinzinger, Peer Fischer, K. Buse, Dietmar Eberhard, Jörg Seewig, C. Weimann and Wolfgang Julius Riedel. Their work appears in journals such as Applied Optics, Optics Letters, APL Photonics, Applied Sciences and tm - Technisches Messen.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact